Advanced topics in mobile and social computing (AToMSC) (Winter 2021/2022): Difference between revisions

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== Details ==
== Details ==
wait for update
 
{{CourseDetails
{{CourseDetails
|credits=5 ECTS
|credits=5 ECTS
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu];  [http://www.net.informatik.uni-goettingen.de/?q=people/dr-tingting-yuan, Dr. Tingting Yuan]
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu];  [http://www.net.informatik.uni-goettingen.de/?q=people/dr-tingting-yuan, Dr. Tingting Yuan]; Weijun Wang [weijun.wang@informatik.uni-goettingen.de]
|ta=[NA]
|ta=[NA]
|time=Thu. 14:00-16:00
|time=Thu. 14:00-16:00
|place=IfI 0.101
|place=IfI 0.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=267543&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=277714&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}
}}


==Announcements==
==Announcements==
Please contact me by email: tingting.yuan@cs.uni-goettingen.de if you have any questions.
Please contact me by email: weijun.wang@informatik.uni-goettingen.de or tingting.yuan@cs.uni-goettingen.de if you have any questions.
Choose your topic and email Tingting.
 
<span style="color:red">
!!! the first classs is on Oct. 28 14:00-15:00
online: https://us04web.zoom.us/j/71958302946?pwd=L0hTYmFkVG5jZXo5TU51Q0xYN1VIZz09
</span>.


==Course Overview==
==Course Overview==
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprises the following components:
The purpose of this seminar is to discuss some advanced topics in '''computer networks'''. This course is a '''theory-oriented''' research seminar (5 ECTS, 2 SWS), held on a weekly base and comprises the following components:
* Weekly Presentation + Weekly Paper Reading and Discussion 40%
* Weekly Presentation + Weekly Paper Reading and Discussion 50%
* Final Presentation 25%
* Final Presentation 25%
* Final Report 35%
* Final Report 25%


The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.
The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.
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==List of Papers ==
==List of Papers ==
*1. Video streaming in NN-based system (''Occupied'')
1. Lightweight and Robust Representation of Economic Scales from Satellite Imagery [https://ojs.aaai.org/index.php/AAAI/article/download/5379/5235]
**(1) Neural Adaptive Content-aware Internet Video Delivery [https://dl.acm.org/doi/10.5555/3291168.3291216] OSDI'18
 
**(2) Neural-Enhanced Live Streaming: Improving Live Video Ingest via Online Learning [https://dl.acm.org/doi/abs/10.1145/3387514.3405856] Sigcomm'20
2. AutoML for Video Analytics with Edge Computing [https://ieeexplore.ieee.org/abstract/document/9488704]
**(3) NEMO: Enabling Neural-enhanced Video Streaming on Commodity Mobile Devices [https://dl.acm.org/doi/10.1145/3372224.3419185] Mobicom'20


*2. Network for Distributed Learning (''Occupied'')
3. Source Compression with Bounded DNN Perception Loss for IoT Edge Computer Vision [https://dl.acm.org/doi/10.1145/3300061.3345448]
**(1) Is Network the Bottleneck of Distributed Training? [https://dl.acm.org/doi/pdf/10.1145/3405671.3405810]  Sigcomm workshop 20
**(2) Domain-specific Communication Optimization for Distributed DNN Training [https://arxiv.org/pdf/2008.08445.pdf] arxiv
**(3) PipeDream: generalized pipeline parallelism for DNN training[https://dl-1acm-1org-12xpm0nrgacbe.han.sub.uni-goettingen.de/doi/pdf/10.1145/3341301.3359646] SOSP ’19


*3. Network Control
4. NN-Meter: Towards Accurate Latency Prediction of Deep-Learning Model Inference on Diverse Edge Devices [https://dl.acm.org/doi/10.1145/3458864.3467882]
**(1) Neural Packet Routing [https://dl.acm.org/doi/pdf/10.1145/3405671.3405813] Sigcomm workshop 20
**(2) OmniMon: Re-architecting Network Telemetry with Resource Efficiency and Full Accuracy [https://dl.acm.org/doi/pdf/10.1145/3387514.3405877] Sigcomm 20
**(3) Swift: Delay is Simple and Effective for Congestion Control in the Datacenter[https://dl.acm.org/doi/pdf/10.1145/3387514.3406591] Sigcomm 20


*4. AI for Network I
5. Reducto: On-Camera Filtering for Resource-Efficient Real-Time Video Analytics [https://dl.acm.org/doi/10.1145/3387514.3405874]
**(1) SmartEntry: Mitigating Routing Update Overhead with Reinforcement Learning for Traffic Engineering [https://dl.acm.org/doi/pdf/10.1145/3405671.3405813] Sigcomm workshop 20
**(2) Event-Triggered Communication Network with Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning [https://arxiv.org/pdf/2010.04978.pdf] AAAI 21
**(3) Learning Scheduling Algorithms for Data Processing Clusters [https://arxiv.org/pdf/1810.01963.pdf] Sigcomm 19


*5. AI for Network II (''Occupied'')
6. Deep Interest Network for Click-Through Rate Prediction [https://arxiv.org/pdf/1706.06978.pdf]
**(1) Challenges in Using ML for Networking Research: How to Label If You Must [https://ix.cs.uoregon.edu/~ram/papers/NetAI-2020.pdf]  Sigcomm workshop 20
**(2) Interpreting Deep Learning-Based Networking Systems [https://dl.acm.org/doi/pdf/10.1145/3387514.3405859]Sigcomm 20
**(3) PCF: Provably Resilient Flexible Routing [https://dl.acm.org/doi/pdf/10.1145/3387514.3405858] Sigcomm 20


==Schedule==
7. Energy-Efficient 3D Vehicular Crowdsourcing For Disaster Response by Distributed Deep Reinforcement Learning [https://dl.acm.org/doi/pdf/10.1145/3447548.3467070]
 
8. Reducing the Service Function Chain Backup Cost over the Edge and Cloud by a Self-Adapting Scheme [https://ieeexplore.ieee.org/document/9312434]
 
9. Routing on Multiple Optimality Criteria[https://www.lx.it.pt/~jls/publications_ficheiros/RoutingMultipleOptimalCriteria.pdf]


* 15 April 2021
10. Understanding, Detecting and Localizing Partial Failures in Large System Software [https://www.cs.jhu.edu/~huang/paper/omegagen-nsdi20-preprint.pdf]
**Informational Meeting


* 22 April 2021
11. Understanding Lifecycle Management Complexity of Datacenter Topologies [https://www.cs.jhu.edu/~huang/paper/omegagen-nsdi20-preprint.pdf]
**No lecture (Girls Day)


* 29 April 2021
==Schedule==
**'''Paper Title''':  Neural Adaptive Content-aware Internet Video Delivery [https://dl.acm.org/doi/10.5555/3291168.3291216] OSDI'18
W1(28 Oct.):  Open Talk


*06 May 2021
W2(04 Nov.):  Assigenment Topics
**'''Paper Title''': Is Network the Bottleneck of Distributed Training? [https://dl.acm.org/doi/pdf/10.1145/3405671.3405810] Sigcomm workshop 20


* 13 May 2021
W3(11 Nov.): Paper ID:
**No lecture (Ascension Day)


*20 May 2021
W4(18 Nov.): Paper ID:
**'''Paper Title''': Challenges in Using ML for Networking Research: How to Label If You Must [https://ix.cs.uoregon.edu/~ram/papers/NetAI-2020.pdf]  Sigcomm workshop 20


* 27 May 2021
W5(25 Nov.): Paper ID:
**'''Paper Title''': Neural-Enhanced Live Streaming: Improving Live Video Ingest via Online Learning [https://dl.acm.org/doi/abs/10.1145/3387514.3405856] Sigcomm'20


* 03 June 2021
W6(02 Dec.): Paper ID:
**'''Paper Title''':  Domain-specific Communication Optimization for Distributed DNN Training [https://arxiv.org/pdf/2008.08445.pdf] arxiv


* 10 June 2021
W7(09 Dec.): Paper ID:
**'''Paper Title''':  Interpreting Deep Learning-Based Networking Systems [https://dl.acm.org/doi/pdf/10.1145/3387514.3405859]Sigcomm 20


* 17 June 2021
W8(16 Dec.): Paper ID:
**'''Paper Title''': PipeDream: generalized pipeline parallelism for DNN training[https://dl-1acm-1org-12xpm0nrgacbe.han.sub.uni-goettingen.de/doi/pdf/10.1145/3341301.3359646] SOSP ’19


* 24 June 2021
W9(06 Jan.): Paper ID:
**'''Paper Title''':  PCF: Provably Resilient Flexible Routing [https://dl.acm.org/doi/pdf/10.1145/3387514.3405858] Sigcomm 20


* 01 July 2021
W10(13 Jan.): Paper ID:
**'''Paper Title''':  NEMO: Enabling Neural-enhanced Video Streaming on Commodity Mobile Devices [https://dl.acm.org/doi/10.1145/3372224.3419185] Mobicom'20


* 08 July 2021
W11(20 Jan.): Paper ID:
**No lecture


* 15 July 2021 (Final Presentation)
Final Presentation
**'''Paper Title''':  
*'''Paper Title''':  
**'''Paper Title''':  
*'''Paper Title''':  
**'''Paper Title''':
*'''Paper Title''':


==Final Presentations & Report==
==Final Presentations & Report==


*Final Registration in '''FlexNow''': before 09th July 2021.
*Final Registration in '''FlexNow''': To Be Announced (TBA).




Line 120: Line 103:
*Final Report:
*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 20 August 2021
**Due by 23:59pm 25 March 2022


[[Category:Courses]]
[[Category:Courses]]

Latest revision as of 19:24, 27 October 2021

Details

Workload/ECTS Credits: 5 ECTS
Module: M.Inf.1222.Mp: Specialization Computer Networks Module Description -or- 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
Lecturer: Prof. Xiaoming Fu; Dr. Tingting Yuan; Weijun Wang [weijun.wang@informatik.uni-goettingen.de]
Teaching assistant: [NA]
Time: Thu. 14:00-16:00
Place: IfI 0.101
UniVZ [1]


Announcements

Please contact me by email: weijun.wang@informatik.uni-goettingen.de or tingting.yuan@cs.uni-goettingen.de if you have any questions.

!!! the first classs is on Oct. 28 14:00-15:00 online: https://us04web.zoom.us/j/71958302946?pwd=L0hTYmFkVG5jZXo5TU51Q0xYN1VIZz09 .

Course Overview

The purpose of this seminar is to discuss some advanced topics in computer networks. This course is a theory-oriented research seminar (5 ECTS, 2 SWS), held on a weekly base and comprises the following components:

  • Weekly Presentation + Weekly Paper Reading and Discussion 50%
  • Final Presentation 25%
  • Final Report 25%

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

Requirements

  • Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
    • Summary of the paper
    • Pros and cons of the paper (your conclusion)
    • NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [Paper_Review_Form_ATCN_WS201112.doc]
  • During each weekly seminar, two participants are assigned for presenting the paper (each presentation lasts for ~20 minutes) and the list of pros and cons are discussed by all the participants.
  • In the middle of the semester, everyone is requested to pick a topic and prepare:
    • Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
    • Final presentation: each presentation lasts for ~20 minutes, plus ~10 minutes Q&A

List of Papers

1. Lightweight and Robust Representation of Economic Scales from Satellite Imagery [2]

2. AutoML for Video Analytics with Edge Computing [3]

3. Source Compression with Bounded DNN Perception Loss for IoT Edge Computer Vision [4]

4. NN-Meter: Towards Accurate Latency Prediction of Deep-Learning Model Inference on Diverse Edge Devices [5]

5. Reducto: On-Camera Filtering for Resource-Efficient Real-Time Video Analytics [6]

6. Deep Interest Network for Click-Through Rate Prediction [7]

7. Energy-Efficient 3D Vehicular Crowdsourcing For Disaster Response by Distributed Deep Reinforcement Learning [8]

8. Reducing the Service Function Chain Backup Cost over the Edge and Cloud by a Self-Adapting Scheme [9]

9. Routing on Multiple Optimality Criteria[10]

10. Understanding, Detecting and Localizing Partial Failures in Large System Software [11]

11. Understanding Lifecycle Management Complexity of Datacenter Topologies [12]

Schedule

W1(28 Oct.): Open Talk

W2(04 Nov.): Assigenment Topics

W3(11 Nov.): Paper ID:

W4(18 Nov.): Paper ID:

W5(25 Nov.): Paper ID:

W6(02 Dec.): Paper ID:

W7(09 Dec.): Paper ID:

W8(16 Dec.): Paper ID:

W9(06 Jan.): Paper ID:

W10(13 Jan.): Paper ID:

W11(20 Jan.): Paper ID:

Final Presentation

  • Paper Title:
  • Paper Title:
  • Paper Title:

Final Presentations & Report

  • Final Registration in FlexNow: To Be Announced (TBA).


  • Final Presentation:
    • Each for ~20 minutes, plus ~10 minutes Q&A


  • Final Presentation Slots:
    • To Be Announced (TBA)


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